Adaptive Probability Distribution Selection for Video Prediction Mode Encoding
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Solution Overview
Problem
Existing video encoding technologies inefficiently manage prediction modes in digital video streams, leading to suboptimal data compression and increased computational resources due to fixed distribution methods that do not adapt to changing quantization parameters and content-specific mode distributions.
Innovation Solution
Adaptive encoding of intra prediction modes using probability distributions selected based on quantization values and frequency counts of prediction modes, allowing for entropy encoding that minimizes data usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed distribution methods are used for encoding prediction modes, then device complexity is reduced, but data compression efficiency deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from fixed distribution methods to adaptive probability distributions that dynamically adjust based on quantization parameters and content characteristics. The encoder selects different probability distributions from a set of predefined distributions according to the current block's quantization parameter and content type, enabling the encoding system to adapt to varying conditions while maintaining manageable complexity through a finite set of predefined distributions.
2Loss of substance
If adaptive probability distributions are used for encoding prediction modes, then data compression efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements parameter changes by using quantization parameters as the basis for selecting appropriate probability distributions. Instead of using complex real-time analysis, the system changes the encoding parameters (probability distribution selection) based on the quantization parameter value and content characteristics, achieving adaptive compression with controlled complexity through a finite set of predefined distributions indexed by quantization parameter ranges.
3Ease of operation
If fixed distribution methods are used for prediction modes, then ease of operation is maintained, but productivity deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple probability distributions in advance, each optimized for specific quantization parameter ranges and content types. During encoding, the system simply selects the appropriate pre-computed distribution based on the current block's characteristics, avoiding the need for complex real-time probability estimation while still achieving adaptive optimization. This prepares the system ahead of time with ready-to-use distributions for various scenarios.
Data Source
AI summary
A system, apparatus, and method for encoding and decoding a video image having a plurality of frames is disclosed. Encoding and decoding the video image can include selecting, for a current block, a prediction mode from a plurality of prediction modes; identifying, for the current block, a quantization value; selecting, for the current block, a probability distribution from a plurality of probability distributions based on the identified quantization value using a processor; and entropy encoding the selected prediction mode using the selected probability distribution.